Improving Visual-textual Sentiment Analysis by Fusing Expert Features. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2022)

Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning. - Jingyang Lin; Junyu Chen 005; Hanjia Lyu; Igor Khodak; Divya Chhabra; Colby L. Day Richardson; Irina Prelipcean; Andrew M. Dylag; Jiebo Luo 001 (ICDH, 2023)

How Art-like are AI-generated Images? An Exploratory Study. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Jiebo Luo 001 (MCGE@MM, 2023)

Learning to Evaluate the Artness of AI-generated Images. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Jiebo Luo 001 (CoRR, 2023)

GRASP: A Rehearsal Policy for Efficient Online Continual Learning. - Md Yousuf Harun; Jhair Gallardo; Junyu Chen 005; Christopher Kanan (CoLLAs, 2024)

Holistic Visual-Textual Sentiment Analysis with Prior Models. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Christopher Kanan; Jiebo Luo 001 (MIPR, 2024)

INSIGHT: Explainable Weakly-Supervised Medical Image Analysis. - Wenbo Zhang; Junyu Chen 005; Christopher Kanan (CoRR, 2024)

Learning to Evaluate the Artness of AI-Generated Images. - Junyu Chen 005; Jie An 002; Hanjia Lyu; Christopher Kanan; Jiebo Luo 001 (IEEE Trans. Multim., 2024)

Revisiting Multi-Modal LLM Evaluation. - Jian Lu; Shikhar Srivastava 001; Junyu Chen 005; Robik Shrestha; Manoj Acharya; Kushal Kafle; Christopher Kanan (CVPR Workshops, 2025)